Essays about: "House Price Prediction"

Found 5 essays containing the words House Price Prediction.

1. 1. Enhancing House Rental Price Prediction Models for the Swedish Market : Exploring External features, Prediction intervals and Uncertainty Management in Predicting House Rental Prices

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Vasigaran Senthilkumar; [2023]
   Keywords : ;

   Abstract : Exakt förutsägelse av hyrespriserna för hus är ett avgörande problem i verkligheten fastighetsdomän, vilket underlättar informerat beslutsfattande för både hyresgäster och hyresvärdar. Denna studie presenterar en omfattande utforskning av olika maskininlärningstekniker som tillämpas på en mångsidig datauppsättning av husfunktioner, med det övergripande målet att avslöja den mest effektiva algoritmen för förutsäga hyrespriser. READ MORE

3. 2. Model Predictive Control for Ground Source Heat Pumps : Reducing cost while maintaining comfort

   University essay from Linköpings universitet/Reglerteknik

   Author : Isak Bokne; Charlie Elf; [2023]
   Keywords : MPC; Model Predictive Control; heat pump control; electricity spot price; weather prediction; reducing cost;

   Abstract : Today, the control of heat pumps aims to first and foremost maintain a comfortable indoor temperature. This is primarily done by deciding input power based on outside temperature. The cost of electricity, which can be rather volatile, is not taken into account. READ MORE

4. 3. Improving House Price Prediction Models: Exploring the Impact of Macroeconomic Features

   University essay from Uppsala universitet/Statistiska institutionen

   Author : Martin Holmqvist; Max Hansson; [2023]
   Keywords : Machine learning; random forest; xgboost; macroeconomic features; house prices;

   Abstract : This thesis investigates if house price prediction models perform better when adding macroe- conomic features to a data set with only house-specific features. Previous research has shown that tree-based models perform well when predicting house prices, especially the algorithms random forest and XGBoost. READ MORE

5. 4. House Price Prediction

   University essay from Högskolan Kristianstad/Fakulteten för naturvetenskap

   Author : Nawar Aghi; Ahmad Abdulal; [2020]
   Keywords : Multiple linear regression; Lasso Regression; Ridge Regression; Random Forest Regression; Artificial Neural Network; Machine Learning; House Price Prediction;

   Abstract : This study proposes a performance comparison between machine learning regression algorithms and Artificial Neural Network (ANN). The regression algorithms used in this study are Multiple linear, Least Absolute Selection Operator (Lasso), Ridge, Random Forest. READ MORE

6. 5. Predicting house prices with machine learning methods

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Isak Engström; Alan Ihre; [2019]
   Keywords : ;

   Abstract : In this study, the machine learning algorithms k-Nearest-Neighbours regression (k-NN) and Random Forest (RF) regression were used to predict house prices from a set of features in the Ames housing data set. The algorithms were selected from an assessment of previous research and the intent was to compare their relative performance at this task. READ MORE